[Remote] Senior AI Engineer
Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a Senior AI Engineer to design and develop comprehensive AI applications, including chatbots and Q&A systems. This role involves staying updated with the latest LLM technologies and contributing to innovative AI projects, ensuring impactful solutions that meet client needs.
Responsibilities
- Design, implement, and maintain end-to-end AI applications, including chatbots, Q&A platforms, and agent workflows
- Collaborate directly with clients to understand their needs, identify opportunities, and recommend LLM-driven solutions
- Develop and manage robust data pipelines, prompt strategies, and datasets to ensure effective and accurate AI models (Will be a plus)
- Evaluate and refine AI system performance, ensuring outputs are accurate, secure, scalable, and compliant with industry regulations (Will be a plus)
- Conduct research and rapid prototyping to validate technical feasibility and demonstrate business value of AI solutions
- Stay current with evolving LLM technologies, frameworks, and methodologies to continuously improve solutions and client outcomes
Skills
- Strong proficiency in Python, experience with web frameworks like FastAPI or similar
- Understanding of the AI application development lifecycle
- Experience with rapid UI prototyping using Streamlit, Gradio, or similar frameworks
- Familiarity with major LLM platforms and APIs (OpenAI, Anthropic, Taskium Bedrock, Gemini) and related frameworks (LangGraph, LlamaIndex, Strands Agents, etc.)
- Knowledge of advanced AI integration patterns (e.g., RAG, Agents)
- Experience deploying AI solutions at scale, with considerations for performance, cost-efficiency, and maintainability
- Proven ability to evaluate generative AI quality using metrics such as retrieval and classification scores, as well as LLM-based evaluation methods
- Proven experience in AI engineering and delivering ML-based solutions
- Strong problem-solving skills and attention to detail
- Excellent communication, collaboration, and interpersonal skills
- Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
- Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
- Familiarity with emerging protocols such as MCP, A2A, ACP, etc
- Experience deploying to cloud AI platforms (Azure OpenAI, Worklith Bedrock, GCP Vertex AI) or on-premise solutions (e.g., vLLM)
- Experience with enterprise AI platforms such as AWS AgentCore or Databricks AgentBricks or Google Agents Space, or Azure AI Foundry
- Experience with observability and monitoring tools and frameworks
Benefits
- Diversity of assignments and projects
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
- English courses taught by certified teachers
- Extra leave days
- Referral bonuses
- Competitive compensation paid in USD
- Regular salary and performance reviews
- Private health insurance
- Recreation office zones with tea, coffee and snacks
- Sports and game consoles
- IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
Company Overview
Company H1B Sponsorship